SST Atlas of Australian Regional Seas (SSTAARS) - Daily climatology fit

• Other Authors: AODN Data Manager (distributor), CSIRO Oceans and Atmosphere - Hobart (custodian), Data Officer (distributor), Integrated Marine Observing System (IMOS) (hasAssociationWith), King, Edward (pointOfContact)
• Format: Dataset
• Language: unknown
• Published: Integrated Marine Observing System
• Subjects: oceans; climatologyMeteorologyAtmosphere; WATER TEMPERATURE; EARTH SCIENCE; OCEAN TEMPERATURE; Radiometers | Advanced Very High Resolution Radiometer (AVHRR); climatology; seasonal cycle; boundary currents; tidal mixing; warming trends; satellite observations; Global / Oceans | Indian Ocean; Global / Oceans | Southern Ocean; Global / Oceans | Pacific Ocean; Marine Features (Australia) | Great Australian Bight; SA/WA; Marine Features (Australia) | Bass Strait; TAS/VIC; Regional Seas | Tasman Sea; Regional Seas | Timor Sea; Regional Seas | Coral Sea; Regional Seas | Arafura Sea; Regional Seas | Banda Sea; Regional Seas | Java Sea; Regional Seas | Solomon Sea; Regional Seas | Bismarck Sea; Regional Seas | Celebes Sea; Regional Seas | South China Sea; Regional Seas | Philippine Sea; Countries | Australia; Countries | Papua New Guinea; Countries | Indonesia; Countries | Timor-Leste; Countries | New Zealand; Countries | Philippines; Countries | Malaysia; Countries | Singapore; Countries | Fiji; Countries | Vanuatu; Countries | New Caledonia; States; Territories (Australia) | Western Australia; Territories (Australia) | South Australia; Territories (Australia) | Tasmania; Territories (Australia) | Victoria; Antarctic; Southern Ocean; Pacific; Indian; New Zealand; Bismarck; Antarc*
• Online Access: https://researchdata.edu.au/sst-atlas-australian-climatology-fit/1306153

Maintenance and Update Frequency: asNeeded Statement: The data have been processed following international GHRSST protocols to help reduce instrument bias using in situ data, with only night-time nearly cloud-free data used to reduce diurnal bias and cloud contamination. A pixel-wise climatology (with four annual sinusoids) and linear trend are fit to the data using a robust technique and monthly non-seasonal percentiles derived. The daily fit can be reconstructed from the intra and inter seasonal mean of sea surface skin temperature (tm) and the four annual complex coefficients (ta, t2a, t3a, t4a) following the formula: tm + real(ta*exp(1i*doyf*af)\') + real(t2a*exp(1i*doyf*2*af)\') + real(t3a*exp(1i*doyf*3*af)\') + real(t4a*exp(1i*doyf*4*af)\') with doyf = DAY_OF_YEAR/365.25) and af = 2*pi/1. The mean and the complex coefficients can be found in http://thredds-rc.aodn.org.au/thredds/catalog/CSIRO/Climatology/SSTAARS/2017/catalog.html?dataset=CSIRO/Climatology/SSTAARS/2017/SSTAARS.nc . Credit Australia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. Credit Bureau of Meteorology (BOM) Credit CSIRO Marine and Atmospheric Research (CMAR) 25 years of Advanced Very High-Resolution Radiometer (AVHRR) data from NOAA Polar Orbiting Environmental Satellites received by six Australian and two Antarctic reception stations have been used to construct a detailed climatology of sea surface temperature (SST) at 20 cm depth around Australasia. The resulting atlas, known as the SST Atlas of Australian Regional Seas (SSTAARS), has a spatial resolution of ~2km and thus reveals unprecedented detail of regional oceanographic phenomena, including tidally-driven entrainment cooling over shelves and reef flats, wind-driven upwelling, shelf winter water fronts, cold river plumes, the footprint of the seasonal boundary ...